Title: Coal seam thickness analyzing method based on earthquake attribute
Application Number: 200610126807 Application Date: 2006.09.05
Publication Number: 1975462 Publication Date: 2007.06.06
Approval Pub. Date: Granted Pub. Date:
International Classifi-cation: G01V1/28
Applicant(s) Name: Meng Zhaoping Address:
Inventor(s) Name: Meng Zhaoping;Guo Yansheng
Attorney & Agent:
Abstract:
    Because most coal seam belongs to typical seam, vertical resolution factor of traditional earthquake detector can not solve the thickness request of the coal seam, so, the analysis method of coal seam thickness based on earthquake attribute solves the problem of coal seam thickness in the exploration and exploitation of coal resources. Firstly, using the PAL module of the landmark company, choosing the appropriate time window from the three-dimensional excursion data, getting the earthquake attribute data such as swing, frequency, instantaneous, building the database of the earthquake attribute, doing self-correlation analysis of these attribute and the correlation analysis between attribute and the thickness, choosing the most significant earthquake attribute as the fundamental parameter of the coal seam forecast module,being combined to the known boring data, using multielement polynomial return and BP manpower neural network method builds multielement polynomial return model and BP manpower neural network model between every attribute and coal thickness, having developed the relevance algorithm procedure, doing error analysis of the model, having realized the forecast and valuation of the coal thickness in the prospecting area.
Time: 6